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StringNET: Neural Network based Variational Method for Transition Pathways
Rare transition events in meta-stable systems under noisy fluctuations are crucial for many non-equilibrium physical and chemical processes.
Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network
Thus, we propose the Residual-Quantile Adjustment (RQA) method for a better weight choice for each training sample.
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